Tim Williams
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Geriatrics and Gerontology top 2%
- Pharmaceutical Practices and Patient Outcomes
Papers in
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- Chronic Disease Management Strategies 4
-
- Electronic Health Records Systems 3
- Medical Coding and Health Information 3
- Co-authors
- Tjeerd van Staa (2 shared papers)Shivani Puri (2 shared papers)Susan Eaton (1 shared paper)Richard Farmer (3 shared papers)J.‐C. Todd (3 shared papers)Ross Lawrenson (2 shared papers)Geraldine Leydon (2 shared papers)K D MacRae (2 shared papers)
- Journals
- Pharmacoepidemiology and Drug Safety (3 papers)Clinical Epidemiology (2 papers)British Journal of Clinical Pharmacology (2 papers)PLoS ONE (1 paper)BMJ Open (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Tim Williams
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Internal Medicine 144
- Geriatrics and Gerontology 129
- Family Practice 57
- Health Information Management 92
- Psychiatry and Mental health 213
Countries citing papers authored by Tim Williams
This map shows the geographic impact of Tim Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Williams more than expected).
Fields of papers citing papers by Tim Williams
This network shows the impact of papers produced by Tim Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Williams. The network helps show where Tim Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 254 | |
| 2 | 2011 | 188 | |
| 3 | 2000 | 158 | |
| 4 | 2009 | 148 | |
| 5 | 2014 | 98 | |
| 6 | 2000 | 94 | |
| 7 | 2013 | 51 | |
| 8 | 2013 | 51 | |
| 9 | 2011 | 48 | |
| 10 | 1998 | 41 | |
| 11 | 2017 | 40 | |
| 12 | 2020 | 34 | |
| 13 | 2010 | 32 | |
| 14 | 2020 | 25 | |
| 15 | 2000 | 23 | |
| 16 | 2016 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 1994 | 9 | |
| 20 | 1998 | 9 |
About Tim Williams
Tim Williams is a scholar working on Epidemiology, Health Information Management, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (4 papers), Chronic Disease Management Strategies (4 papers), Seismic Waves and Analysis (3 papers), Electronic Health Records Systems (3 papers), Seismic Imaging and Inversion Techniques (3 papers), Medical Coding and Health Information (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Internal Medicine (144 citations), Geriatrics and Gerontology (129 citations), Family Practice (57 citations), Health Information Management (92 citations) and Psychiatry and Mental health (213 citations). Tim Williams has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Tjeerd van Staa, Shivani Puri, Susan Eaton, Richard Farmer, J.‐C. Todd, Ross Lawrenson, Geraldine Leydon, K D MacRae, Bonaventura Bolíbar and Rafel Ramos. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Clinical Epidemiology, British Journal of Clinical Pharmacology, PLoS ONE and BMJ Open.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.